/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.flink.table.planner.plan.nodes.exec.common;

import org.apache.flink.api.dag.Transformation;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.planner.codegen.ValuesCodeGenerator;
import org.apache.flink.table.planner.delegation.PlannerBase;
import org.apache.flink.table.planner.plan.nodes.exec.ExecNode;
import org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase;
import org.apache.flink.table.runtime.operators.values.ValuesInputFormat;
import org.apache.flink.table.types.logical.RowType;

import org.apache.calcite.rex.RexLiteral;

import java.util.Collections;
import java.util.List;

/**
 * Base {@link ExecNode} that read records from given values.
 */
public abstract class CommonExecValues extends ExecNodeBase<RowData> {
	private final List<List<RexLiteral>> tuples;

	public CommonExecValues(List<List<RexLiteral>> tuples, RowType outputType, String description) {
		super(Collections.emptyList(), outputType, description);
		this.tuples = tuples;
	}

	@Override
	protected Transformation<RowData> translateToPlanInternal(PlannerBase planner) {
		final ValuesInputFormat inputFormat = ValuesCodeGenerator.generatorInputFormat(
				planner.getTableConfig(),
				(RowType) getOutputType(),
				tuples,
				getClass().getSimpleName());
		final Transformation<RowData> transformation =
				planner.getExecEnv().createInput(inputFormat, inputFormat.getProducedType()).getTransformation();
		transformation.setName(getDesc());
		transformation.setParallelism(1);
		transformation.setMaxParallelism(1);
		return transformation;
	}
}
